to:[EMAIL PROTECTED]
> http://www.cmis.csiro.au/bill.venables/
>
> -Original Message-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> On Behalf Of Firas Swidan, PhD
> Sent: Friday, 7 March 2008 6:16 PM
> To: r-help@r-project.org
> Subject: [R] Puzzling coeff
On 07-Mar-08 08:16:06, Firas Swidan, PhD wrote:
> Hi,
> I can not comprehend the linear fitting results of polynoms.
> For example, given the following data (representing y = x^2):
>
>> x <- 1:3
>> y <- c(1, 4, 9)
>
> performing a linear fit
>
>> f <- lm(y ~ poly(x, 2))
>
> gives weird coeffici
l.venables/
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Firas Swidan, PhD
Sent: Friday, 7 March 2008 6:16 PM
To: r-help@r-project.org
Subject: [R] Puzzling coefficients for linear fitting to polynom
Hi,
I can not comprehend the linear fitting resul
--
From: "Firas Swidan, PhD" <[EMAIL PROTECTED]>
To:
Sent: Friday, March 07, 2008 9:16 AM
Subject: [R] Puzzling coefficients for linear fitting to polynom
> Hi,
>
> I can not comprehend the linear fitting results of polynoms. For
> example, given the following dat
Hi,
I can not comprehend the linear fitting results of polynoms. For
example, given the following data (representing y = x^2):
> x <- 1:3
> y <- c(1, 4, 9)
performing a linear fit
> f <- lm(y ~ poly(x, 2))
gives weird coefficients:
> coefficients(f)
(Intercept) poly(x, 2)1 poly(x, 2)2
4.66
Hi,
I can not comprehend the linear fitting results of polynoms. For
example, given the following data (representing y = x^2):
> x <- 1:3
> y <- c(1, 4, 9)
performing a linear fit
> f <- lm(y ~ poly(x, 2))
gives weird coefficients:
> coefficients(f)
(Intercept) poly(x, 2)1 poly(x, 2)2
4.66
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